An Approach Of Computer Aided Drug Design (CADD) Tools For In-silico Evaluation Of Various Derivatives Of Antidiabetic Standard Drugs
Year: 2024
Type: article
Abstract: An in-silico ADME/T study utilizing Swiss ADME software was conducted on novel derivatives of standard antidiabetic drugs, revealing reduced toxicity levels compared to existing medications. Docking scores showed significant interactions with antidiabetic and antitubercular properties, successfully binding to protein PDB IDs 8Q0T and 1H5U. Predictive analysis yielded Pa and Pi values (0-1), indicating promising antidiabetic activity. These findings suggest the derivatives' potential for development into enhanced efficacy antidiabetic compounds, opening new avenues for antidiabetic drug discovery and providing valuable leads for future research in combating diabetes.
Author: Anushree Suga1, Ashwini Paschapur1, Somashekhar M Metri*, Trupti A Hunnura2, Hanamant B Sannakki2
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949460600
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